Flexible and modular framework for different NP-Problems with different solvers

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My Edinburgh Napier University Honours Project: investigating the multi-objective Capacitated Vehicle Routing Problem with Time Windows (CVRPTW).

Feasibility Intensive Genetic Algorithm (FIGA) for the Capacitated Vehicle Routing Problem with Time Windows (CVRPTW)

The traveling salesman problem (TSP) is a well-known problem in theoretical computer science and operations research. The standard version of the TSP is a hard problem and belongs to the NP-Hard class. In this project, I build an application to implement the TSP by the dynamic approach and the GVNS approach .

Solving the popular NP problem, The Subset Sum Problem, with an Amortized O(n) algorithm based on Recursive Backtracking. The Algorithm stood second fastest in the organized Intra-University competition.

University project about time and space complexity of differents algorithms, data structure and NP problems

An efficient simulated annealing algorithm applied to the Minimum Vertex Cover Problem

NTUEE Algorithm 23Spring PA3

A recursive algorithm with backtracking in Java to solve the NP problem of SAT solving.

Algorithms Specialization (Stanford-Coursera)

The Logistics Optimizer tackles the NP-hard Container Terminal Space Allocation and Scheduling Problem using an Enhanced Cuckoo Search Algorithm with Gaussian Mixture Clustering. This approach maximizes space utilization and minimizes costs, improving efficiency in resource allocation and scheduling for logistics operations.

Compares an algorithm that solves the K-Clique problem exponentially with an algorithm that solves the polynomial transformation to SAT

the problem of finding a cycle in a graph that contains all vertices (each exactly once) and has the lowest possible cost

Approximation and randomized algorithms - Assignment 01 - SAT

An approach about the NP-Hard problem: Partition Into Perfect Matchings, in which I worked in the class of Complexity and Algorithms, in Universidad del Norte, which I wanted to share with the world.

This Python program uses 2 main Artificial Intelligence Algorithms to solve the Best Vertex Cover Problem.

N Queens problem with C++